Data Scientist (KTP Associate)

University of the West of Scotland – School of Computing, Engineering and Physical Sciences

Fixed term 36 months

37.5 hours per week

Hybrid work model

Based at PG Paper’s Head Office in Greenock, with occasional travel to Paisley

Salary Range Up to £40k per annum with potential for performance-based bonus, £6k personal development budget, and an opportunity to register free to charge for a higher degree (Masters or PhD).

• Do you want to work with a pioneering business and an academic team to build data driven solutions for the paper industry?
• Are you looking for a unique opportunity to use your knowledge, skills and experience to work an exciting project focused on embedding data driven innovation in PG Paper’s business processes?
• Would you like to work with an innovation company and be supported by senior company management and by a team of academics from The University of the West of Scotland?
• Do you have experience of working in a rapidly expanding business both locally and internationally?

The company

Founded in 2003, PG Paper conducts international trade in packaging, paper and forest products; creating markets and enabling trade by providing the full-service package of financing, shipping, risk-management and marketing. With over 20 years of successful business development expertise and offices strategically located in over 8 countries globally, PG Paper provides an efficient gateway for both suppliers and customers to reach global markets.

Find out more about us: www.pgpaper.com

The role

We seek a Data Scientist to develop data analytical capabilities by leveraging company’s in-house and external data, to develop actionable insight for client engagement, retention, and experience. This role is also required development of dApps for secure and traceable document management. You will benefit from direct engagement and support from both the company senior management and academic teams and there is potential for post project employment subject to performance.

Why UWS?

UWS was named Higher Educational Institution of the Year in The Herald Higher Education Awards 2022 and is officially ranked by Times Higher Education in the top 600 universities worldwide (2022 World University Rankings) as well as in the top 150 universities worldwide under 50 years old (2022 Young University Rankings). University of the West of Scotland is one of Scotland’s largest and most dynamic modern universities.

We support you – We are the only Scottish University to have a dedicated award winning KTP centre - meaning you are fully supported throughout your time with the PG Paper by KTP Centre, and community of KTP Associates. You will also benefit from hybrid working model of the PG Paper.

Find out more: Knowledge Transfer Partnerships | UWS | University of the West of Scotland

You grow with us– Many of our KTP associates are offered permanent roles and continue to provide support to projects as part of a team and autonomously.

The successful candidate should have the following:

• MSc in Computer/ Data Science, Electronic Engineering (2.1)
• Experience in development and application of Machine Learning (ML) and Artificial Intelligence (AI) algorithms.
• Hands-on experience in developing Deep Leaning (DL) and eXplainableAI (XAI) enabled data science pipelines and services.
• High level Python and Java programming experience.
• Hands-on experience in developing dApp with Ethereum or Hyperledger.
• Ability to codify business logic with Web3 technologies and smart contracts.
• Ability to analyse, design, develop, and validate integrated data science pipelines in varied and diverse business context, preferably in a research and development context
• A comprehensive understanding of data science process to answer challenging business questions, address issues of data bias, and present data finding to non-technical staff.
• Experience in software design, documentation and management.
• Experience in Data Engineering (ETL/ELT processes, stream analytics), preferably with cloud and external data sources.
• Experience in designing, developing, and managing cloud services e.g., AWS, Azure, GCP.
• Experience of deploying scalable data science pipelines and services in production environment through DevOps.

If you have questions about this vacancy contact: Prof. Zeeshan Pervez zeeshan.pervez@uws.ac.uk or Prof. Keshav Dahal keshav.dahal@uws.ac.uk

Further information, including a detailed job description and how to apply are available at jobs.uws.ac.uk

Interview date: Tuesday 21^st February 2023 (Tentative)

The University reserves the right to shorten/extend the closing date of any position where a high/low volume of suitable applications are received. Therefore, if you are interested in this role, an early application would be encouraged.

UWS is committed to equality and diversity and welcomes applications from underrepresented groups.

UWS is a “Disability Confident” employer.

University of the West of Scotland is a registered Scottish charity, no. SC002520.